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Multi-resolution analysis of aggregated spatial data to simulate yield and irrigation water demand at regional scales

conference contribution
posted on 2023-05-24, 19:35 authored by Jonathan Ojeda, Rezaei, EE, Tomas Remenyi, Webb, M, Webber, H, Kamali, B, Harris, R, Brown, J, Kidd, D, Caroline MohammedCaroline Mohammed, Siebert, S, Ewert, F, Holger MeinkeHolger Meinke
Input data aggregation influences crop model estimates at the regional level (Eyshi Rezaei et al., 2015). Previous studies have focused on the impact of aggregating the climate data used to compute crop yields (Hoffmann et al., 2015; van Bussel et al., 2011; Zhao et al., 2015). Little is known about the combined data aggregation effect of climate (DAEc) and soil (DAEs) model inputs. This study explores the implications of using coarse resolution input data on model outputs (irrigated and rainfed yield and irrigation water demand [IWD]) in Tasmania, Australia by (i) separately assessing the DAEc and DAEs of model input data and (ii) assessing the combined impact of DAEc and DAEs. We provide a framework to quantifying the input uncertainty introduced by using aggregated data to meet the objectives of modelling exercises.

Funding

Universities Australia / Deutscher Akademischer Austauschdienst (German Academic Exchange Service)

History

Publication title

iCROPM2020 Book of Abstracts

Pagination

195-196

Department/School

Tasmanian Institute of Agriculture (TIA)

Event title

Second International Crop Modelling Symposium (iCROPM 2020)

Event Venue

Montpellier, France

Date of Event (Start Date)

2020-02-03

Date of Event (End Date)

2020-02-05

Repository Status

  • Restricted

Socio-economic Objectives

Climate change models; Hardwood plantations; Plant extract crops

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    University Of Tasmania

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